Welcome to the SEAM Pressure Prediction Management Committee Community!

 

On 14 February 2007, the SEG Advanced Modeling (SEAM) Corporation was incorporated as a not-for-profit organization in the state of Oklahoma, with SEG as sole member, for the purpose of fiduciary, policy, and management oversight of the SEAM projects ("Phases"). SEAM is an industrial consortia dedicated to large-scale leading-edge geophysical numerical modeling.

The SEAM projects will provide the geophysical exploration community with geophysical model data for subsurface geological models at a level of complexity and size that cannot be practicably computed by any single company or small number of companies. A general introduction to the SEAM initiative can be found in TLE's June 2007 issue.

The SEAM mission is to advance the science and technology of applied geophysics through a cooperative industry effort focused on subsurface model construction and generation of synthetic data sets for geophysical problems of importance to the resource extraction industry. Data sets, after an initial two years of confidentiality, will enter the public domain.

The primary goals of SEAM are to: 

  • and generate synthetic design model 3D and 2D seismic data
  • share the high cost effort of substantial model design and generation
  • provide a forum to discuss geophysical problems of interest
  • advance the art of modeling and computation
  • provide data sets for industry benchmarks and educational purposes

SEAM Pressure Prediction Project

The SEAM Pressure Prediction and Hazard Avoidance research project will ecvaluate and advance current methodologiesfor pre-drill pressure and hazard prediction.  The research consortium will provide a collaborative forum where industry experts prioritize current challenges in the use of siesmic velocity (and other seismic attributes) to construct pre-drill pressure forecasts for well planning. These challenges will be used to design a comprehensive earth model and to "aquire". through advanced computer simulation, benchmark data sets to be used by industry for quantifying risk and uncertainty associated with velocity models derived from current and future state-of-the-art in siesmic aquisition, processing and imaging.  A methodology will be developed for assesing risk and uncertainty in pressure prediction from seismic.  Though the focus will be Gulf of Mexico Deepwater, the resultant advances in pressure prediction technology and methodology will be more broadly relevant.